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VC++_image_Code
说明: VC++6.0图像处理算法集:图象的几何变换、平滑(去噪声)、锐化、腐蚀、膨胀、细化算法、半影调、抖动、直方图修正、彩色变换、腐蚀,膨胀,细化等算法,并有可执行文件供试用,并附有配套电子收,是图像处理入门的好资料。(VC++ 6.0 image processing algorithms: image geometric transformation, smoothing (to noise), sharpening, corrosion, expansion, thinning algorithm, penumbral tune jitter histogram of the amendment, color conversion, corrosion, swelling, refinement algorithm, etc., as well as executable files for trial, together with supporting electronic collection, image processing is a good data entry.)
- 2008-11-20 23:20:31下载
- 积分:1
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1
说明: 线形骨架的综述类文献,着重强调定义属性和应用(Curve-skeleton properties, applications, and algorithms)
- 2010-06-16 13:53:59下载
- 积分:1
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wavelet-wavelep-filter
本程序实现小波和小波包滤波,,对高频部分进行处理对一维信号进行处理,得到重构去噪后的信号,代码调试通过(This procedure realize wavelet and wavelet packet filtering, and the high frequency part of the process of one dimensional signal processing, reconstruction after denoising signal, code debugging through)
- 2016-01-20 13:52:07下载
- 积分:1
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src
读取RAW格式文件,将其转换为BMP格式文件并存储(raw 2 bmp file format convert)
- 2016-04-20 16:29:22下载
- 积分:1
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LSM_Match
最小二乘匹配,图像匹配算法,需要初始匹配坐标,可以达到亚像素精度(least squares matching, image matching algorithm, the initial need to match coordinates, can reach sub-pixel accuracy)
- 2006-10-26 14:25:05下载
- 积分:1
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drawmat
演示了点阵字符的绘制方法,visual c++源码(Demonstrates a dot matrix characters drawing method, c++ source code)
- 2012-12-22 18:24:16下载
- 积分:1
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145
一个很好类子来说明类模板的使用,可以比较明了类模板的使用方法,最好进行单步调试(use of class template )
- 2013-08-30 17:17:58下载
- 积分:1
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splines5
样条函数用于图像放大;可放大任意倍数;五次样条函数的构造 (five splines function)
- 2011-07-08 16:00:48下载
- 积分:1
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ERNSYMNTY
基于VisualC_和DCMTK的医学DICOM图像显示与调窗,同时在MFC 下完成鼠标拖动进行窗宽/窗位的调节(Medical image of DICOM VisualC_ and DCMTK display and window based on, at the same time in MFC complete the mouse to drag the window width/window regulator
)
- 2013-08-26 22:03:24下载
- 积分:1
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headCountCode
采用了Harrtraining和离子滤波算法实现了拥挤人群人头计数,非常有用。VC++和Opencv开发,采用Oepncv中的Harrtraining训练一个分类器即可运行(Human detection and tracking in high density
crowds is an unsolved problem. Standard preprocessing techniques such
as background modeling fail when most of the scene is in motion. We
integrate human detection and tracking into a single framework, and in-
troduce a conrmation-by-classication method to estimate condence
in a tracked trajectory, track humans through occlusions, and eliminate
false positive detections.)
- 2021-03-05 17:39:31下载
- 积分:1